Lung cancer prediction

We generated a blood-derived transcriptional signature that discriminates patients with lung cancer from non-affected smokers. When applied to blood samples from one of the largest prospective population-based cancer studies (the European Prospective Investigation into Cancer and Nutrition), this signature accurately predicted the occurrence of lung cancer in smokers within two years before the onset of clinical symptoms. Such a blood test could be used as a screening tool to enable early diagnosis of lung cancer at a curable stage.

Dataset features

Information

Specifications

Application:	Gene expression microarray analysis
Number of samples:	292
Release date:	Feb 28 2010
Last update date:	Feb 15 2013
Access:	Public
Diseases:	Lung Neoplasms, Neoplasms, Malnutrition
Dataset link	Lung cancer prediction

Experimental Protocol

All samples were taken from smokers. EPIC cases were taken from the EPIC trial (a large prospective epidemiological trial in Europe, and are incident cases), Cosmos and BC cases are prevalent cases from a Cologne, Germany based epidemiological trial.

Repositories

GEO

GSE12771

ArrayExpress

E-GEOD-12771

BioProject

PRJNA112765

Dataset features

Specifications

Experimental Protocol

Repositories

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